How Inclusion Caused Division: A Critical Examination of Muslim Mothers’ Resistance to EDI Approaches in Ontario Public Schools
Bibliographic record
Abstract
This study critically examines Ontario's revised Health and Physical Education Curriculum (HPEC) and the Equity, Diversity, and Inclusion (EDI) framework, focusing on 2SLGBTQ+ inclusion and resistance from Canadian Muslim mothers.Through interviews with ten Muslim mothers, the research explores how diversity is navigated in public schools, emphasizing the challenges faced by some racialized Canadian Muslim families.The study argues that Ontario's EDI initiatives often exacerbate conflicts by promoting selective inclusion aligned with Western narratives, which marginalizes those challenging existing power dynamics.Drawing on a critical liberal perspective, the research advocates for mutual tolerance and freedom of association as more effective approaches to managing diversity.Recommendations for Ontario public schools include adopting a multidimensional understanding of respect, fostering dialogue, and addressing educator biases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.055 | 0.033 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".